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by victoriap
4343 days ago
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Initially we made a statistical analysis of 10K web sites on particular design choices such as layout, color scheme snd colors, fonts, decorational elements. We also made a rating review with 500 people to judge themes with some ratings... Then we backpropagate the ratings to suppress some parameters and produce newer themes with more of the good ones.. |
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I think the issue is that your machine learning doesn't seem to know what goes together and what doesn't. It may focus in on a small subset, but then it mixes and matches elements that don't go together. Like it's not seeing the whole picture, more it's taking certain elements from 'good pages' and jumbling them all up. If it randomly produces a good design, how are you sure that it's not an exact copy of one of the training designs?